Presentation slides for “Building a Big Data Solution”

Thanks to everyone who attended my session “Building a Big Data Solution” (Building an Effective Data Warehouse Architecture with Hadoop, Cloud and MPP) for Pragmatic Works today.  The abstract for my session is below and the recording will be available here tomorrow.  I hope you enjoyed it!

Here is the PowerPoint presentation: Building a Big Data Solution

Building a Big Data Solution

As a follow-on to the presentation “Building an Effective Data Warehouse Architecture”, this presentation will explain exactly what Big Data is and its benefits, including use cases.  We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built.  We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data.  We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices.  You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in.  In the end you will have guidance on the best solution for your data warehouse going forward.

About James Serra

James is a big data and data warehousing solution architect at Microsoft. Previously he was an independent consultant working as a Data Warehouse/Business Intelligence architect and developer. He is a prior SQL Server MVP with over 25 years of IT experience.
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